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Home-Based Monitor for Gait and Activity Analysis
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Estimating dynamic gait stability using data from non-aligned inertial sensors.

Sjoerd M Bruijn1, Warner R Th Ten Kate, Gert S Faber

  • 1Research Institute MOVE, Faculty of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, NL-1081 BT, Amsterdam, The Netherlands.

Annals of Biomedical Engineering
|April 1, 2010
PubMed
Summary
This summary is machine-generated.

Inertial sensors provide valid estimates for human locomotion dynamic stability, comparable to optoelectronic systems. This allows for practical gait stability analysis during everyday walking.

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Area of Science:

  • Biomechanics
  • Dynamical Systems Analysis
  • Human Locomotion

Background:

  • Local stability (Lyapunov exponents) and orbital stability (Floquet multipliers) quantify human locomotion dynamics.
  • Optoelectronic systems are commonly used, but wireless inertial sensors offer greater practicality, especially for ambulatory studies.

Purpose of the Study:

  • To compare dynamic stability measures of human walking estimated from optoelectronic and inertial sensor systems.
  • To determine the validity of inertial sensors for quantifying local and orbital stability in human locomotion.

Main Methods:

  • Subjects walked on a treadmill at varying speeds.
  • Kinematic data were simultaneously recorded using optoelectronic and inertial sensor systems.
  • Finite time maximum Lyapunov exponents (lambda(s), lambda(L)) and maximum Floquet multipliers (MaxFm) were calculated from angular velocities and linear accelerations.

Main Results:

  • Both systems detected similar effects of walking speed on stability measures.
  • High correlations were found between systems for lambda(s) and lambda(L) (R > 0.85).
  • A moderate correlation was observed for MaxFm (R = 0.66).

Conclusions:

  • Inertial sensors are a valid alternative to optoelectronic systems for assessing dynamic gait stability.
  • The use of inertial sensors facilitates the study of gait stability in natural, everyday walking conditions.